Publications (Google Scholar Profile)

[ECCV 2026] Amira Guesmi, Muhammad Shafique. “Do Not Leave a Gap: Hallucination-Free Object Concealment in Vision-Language Models”.

[TMLR, Under review] Amira Guesmi, Bassem Ouni, Muhammad Shafique.
“TESSER: Transfer-Enhancing Adversarial Attacks from Vision Transformers via Spectral and Semantic Regularization”.

[ICLR 2026] Amira Guesmi, Muhammad Shafique.
“DRIFT: Divergent Response in Filtered Transformations for Robust Adversarial Defense”.

[ICLR 2026] Amira Guesmi, Bassem Ouni, Muhammad Shafique.
“TriQDef: Disrupting Semantic and Gradient Alignment to Prevent Adversarial Patch Transferability in Quantized Neural Networks”.

[ICCV 2025] Nandish Chattopadhyay, Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique. “ODDR: Outlier Detection and Dimension Reduction-Based Defense Against Adversarial Attacks”. (*Equal contribution)

[CVPR 2024] Amira Guesmi, Ruitian Ding, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique. “DAP: A dynamic adversarial patch for evading person detectors”.

[IROS 2024] Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Bassem Ouni, Muhammad Shafique. “SSAP: A shape-sensitive adversarial patch for comprehensive disruption of monocular depth estimation in autonomous navigation applications”.

[DAC 2024] Nandish Chattopadhyay, Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique. “Defending against adversarial patches using dimensionality reduction”.

[ArXiv 2024] Amira Guesmi, Muhammad Shafique. “Navigating Threats: A Survey of Physical Adversarial Attacks on LiDAR Perception Systems in Autonomous Vehicles”.

[IEEE Access 2024] Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique. “Saam: Stealthy adversarial attack on monocular depth estimation”.

[ICIP 2024] Amira Guesmi, Ioan Marius Bilasco, Muhammad Shafique, Ihsen Alouani. “AdvArt: Adversarial Art for Camouflaged Object Detection Attacks”.

[ICIP 2024] Nandish Chattopadhyay, Amira Guesmi, Muhammad Shafique. “Anomaly unveiled: Securing image classification against adversarial patch attacks”.

[DATE 2026] Nandish Chattopadhyay, Abdul Basit, Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique. “PatchBlock: A Lightweight Defense Against Adversarial Patches for Embedded EdgeAI Devices”.

[SOCC 2025] Muhammad Shafique, Muhammad Abdullah Hanif, Amira Guesmi, Nandish Chattopadhyay, Bassem Ouni. “Adversarial and Backdoor Threats in Autonomous-Vehicle and Embodied-AI Systems”.

[PMLR 2024] Nishant Suresh Aswani, Amira Guesmi, Muhammad Abdullah Hanif, Muhammad Shafique. “Examining Changes in Internal Representations of Continual Learning Models Through Tensor Decomposition”.

[ICIPCW 2024] Amira Guesmi, Nishant Suresh Aswani, Muhammad Shafique. “Exploring the interplay of interpretability and robustness in deep neural networks: A saliency-guided approach”.

[ArXiv 2024] Amira Guesmi, Bassem Ouni, Muhammad Shafique.
“Exploring the Robustness and Transferability of Patch-Based Adversarial Attacks in Quantized Neural Networks”.

[IEEE Access 2023] Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique. “Physical adversarial attacks for camera-based smart systems: Current trends, categorization, applications, research challenges, and future outlook”.

[Information 2023] Amira Guesmi, Muhammad Abdullah Hanif, Muhammad Shafique. “Advrain: Adversarial raindrops to attack camera-based smart vision systems”.

[IJCNN 2023] Ayoub Arous, Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique. “Exploring machine learning privacy/utility trade-off from a hyperparameters lens”.

[TechRxiv 2023] Anis Amazigh Hamza, Amira Guesmi, Iyad Dayoub, Abderrahmane Amrouche, and Ihsen Alouani. “AaN: Anti-adversarial Noise - A Novel Approach for Securing Machine Learning-based Wireless Communication Systems”.

[IJCNN 2022] Amira Guesmi, Khaled N Khasawneh, Nael Abu-Ghazaleh, Ihsen Alouani. “Room: Adversarial machine learning attacks under real-time constraints”.

[VTS 2022] Shail Dave, Alberto Marchisio, Muhammad Abdullah Hanif, Amira Guesmi, Aviral Shrivastava, Ihsen Alouani, Muhammad Shafique. “Special session: Towards an agile design methodology for efficient, reliable, and secure ML systems”.

[ArXiv 2022] Amira Guesmi, Ihsen Alouani. “Adversarial attack on radar-based environment perception systems”.

[ArXiv 2022] Amira Guesmi, Ihsen Alouani, Khaled N Khasawneh, Mouna Baklouti, Tarek Frikha, Mohamed Abid, Nael Abu-Ghazaleh. “Defending with errors: Approximate computing for robustness of deep neural networks”.

[IEEE Design & Test 2021] Amira Guesmi, Ihsen Alouani, Mouna Baklouti, Tarek Frikha, Mohamed Abid. “Sit: Stochastic input transformation to defend against adversarial attacks on deep neural networks”.

[ASPLOS 2021] Amira Guesmi, Ihsen Alouani, Khaled N Khasawneh, Mouna Baklouti, Tarek Frikha, Mohamed Abid, Nael Abu-Ghazaleh. “Defensive approximation: securing cnns using approximate computing”.

[RSP 2019] Amira Guesmi, Ihsen Alouani, Mouna Baklouti, Tarek Frikha, Mohamed Abid, Atika Rivenq. “Heap: A heterogeneous approximate floating-point multiplier for error tolerant applications”.